{"id":"W4398437351","doi":"10.7910/dvn/hbikkv/bnahgm","title":"RunD1.nc","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001925767,0.005397853,0.002578205,0.004405675,0.001629321,0.003979385,0.006304415,0.003494833,0.1082891],"category_scores_gemma":[0.008468622,0.001055161,0.002637251,0.004913862,0.0008880312,0.002523586,0.003132485,0.002859214,0.1808708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001877737,"about_ca_system_score_gemma":0.003147746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02774137,"about_ca_topic_score_gemma":0.06049611,"domain_scores_codex":[0.9982326,0.0003683767,0.0001510364,0.0005692999,0.0003431854,0.0003355178],"domain_scores_gemma":[0.9973036,0.0005389093,0.0001623477,0.0009565192,0.0006123054,0.0004262821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004845283,0.0000238258,0.0001979406,0.0002041743,0.00001941992,0.000006987346,0.000006152788,0.0001465183,0.00004235754,0.0001873914,0.9978638,0.001252905],"study_design_scores_gemma":[0.0008036129,0.00008862242,0.002507152,0.0004080404,0.00007732084,0.0001251308,0.0001130895,0.002662258,0.0009093505,0.00273612,0.9895064,0.00006278633],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003296166,0.0001765509,0.0001527744,0.0001778632,0.0001434251,0.00002947803,0.9952237,0.002072477,0.001694195],"genre_scores_gemma":[0.0004419867,0.00006537171,0.0004311379,0.00007624338,0.00002380821,0.00006940371,0.9976253,0.0001682257,0.001098586],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8917109,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02207927011262581,"score_gpt":0.2733856237102859,"score_spread":0.2513063535976601,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}